code: def __init__(
      self, *args, dataset_size: str, dataset_dimension: str, **kwargs
  ):
      super(_Zinc15Loader, self).__init__(*args, **kwargs)
      self.dataset_size = dataset_size
      self.dataset_dimension = dataset_dimension
      self.name = "zinc15_" + dataset_size + "_" + dataset_dimension
  
file_path: deepchem/deepchem/molnet/load_function/zinc15_datasets.py
imports: import os
  import deepchem
  from deepchem.molnet.load_function.molnet_loader import TransformerGenerator, _MolnetLoader
  from deepchem.data import Dataset
  from typing import List, Optional, Tuple, Union
label_desc: Use image node_id 1 to create a new _Zinc15Loader object from inherited base classes: _MolnetLoader with example: obj = _Zinc15Loader()